Skip to content

Recurrent Neural Network wrote implemented from scratch using numpy package

License

Notifications You must be signed in to change notification settings

tugot17/Recurent-Neural-Network-From-Scratch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Recurent-Neural-Network-From-Scratch

Recurrent Neural Network, created from scratch using numpy package and python programming language. The main Jupyter presents mathematical background behind RNNs, including backpropagation. Network performs pet exercise - it adds two binary numbers

drawing

Getting Started

To run it You need jupyter notebook installed or You can run it using google colab The main file is The main file is Recurrent_Neural_Net.ipynb

Prerequisites

-numpy
-tqdm
-matplotlib

Authors

License

This project is licensed under the MIT License - see the LICENSE file for details

About

Recurrent Neural Network wrote implemented from scratch using numpy package

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published